Synthverse explores Evolutionary Multi-Agent Systems (EMAS), where diverse autonomous agents evolve solutions through natural selection and emergent behaviors. We combine evolutionary algorithms, biologically inspired computational mechanisms, and multi-agent frameworks to study how agent diversity fosters resilience and adaptability. Our goal is to advance both theory and practice in evolutionary agent-based systems, sharing open-source as well as commercial tools and insights with the research community.
Sadat Chowdhury, PhD
Principal Investigator
Researcher in evolutionary multi-agent systems, exploring heterogeneous populations and emergent intelligence. Advancing computational approaches through academic and industry perspectives.
Elizabeth Sklar, PhD
Research Advisor, emeritus
Professor of Agri-Robotics at University of Lincoln. Expertise in multi-robot teams, human-machine collaboration, and multi-agent systems. Previously at King’s College London, CUNY, and Columbia. Published 200+ papers and founded RoboCupJunior. Professor Sklar supervised Sadat’s doctoral research and collaborated on several academic publications in this field.
Moses Merchant
Industrial AI Research Collaborator
CEO of Tgix, which specializes in AWS Cloud technologies. Collaborating with the Synthverse research team to implement evolutionary multi-agent systems within AWS environments and cloud infrastructure. Moses brings decades of industry experience and holds an MSc in Information Networking from Carnegie Mellon University.
Syed Mostofa Monsur
Graduate Research Assistant
PhD student at Stony Brook University, formerly AI/ML lead at Celloscope. His research focuses on LLM Reasoning and LLM-based Scientific Discovery. He is also a research assistant on the Synthverse project, where he explores evolvable LLM agents. He has developed NLP and speech UX systems used by thousands.